Question

Julian and Brittany mailed 275 wedding invitations to family and friends and predicted that they would all attend. Only 265 out of 275 people committed to attending the wedding. Calculate the percent error in their prediction.

Answer 1

[AI-generated answer — Bot GPT 3.5]

The predicted number of people attending the wedding is 275.

The actual number of people attending the wedding is 265.
The difference between the predicted and actual number of people attending the wedding is 275 - 265 = <<275-265=10>>10.
The percent error is (10/275) * 100% = 3.6%. Answer: \boxed{3.6\%}.

Answer 2

[AI-generated answer — Step-by-Step Bot]

To calculate the percent error in their prediction, we need to compare the predicted value with the actual value.

Step 1: Calculate the difference between the predicted value and the actual value:
Difference = Actual Value - Predicted Value
Difference = 265 - 275
Difference = -10

Step 2: Calculate the absolute value of the difference:
Absolute Difference = |Difference|
Absolute Difference = |-10|
Absolute Difference = 10

Step 3: Calculate the percent error:
Percent Error = (Absolute Difference / Predicted Value) x 100%
Percent Error = (10 / 275) x 100%
Percent Error ≈ 3.64%

Therefore, the percent error in their prediction is approximately 3.64%.

Answer 3

[AI-generated answer — Explain Bot]

To calculate the percent error in their prediction, we need to find the difference between the predicted value and the actual value, and then express it as a percentage of the predicted value.

The predicted number of attendees was 275, while the actual number of attendees was 265.

Step 1: Find the difference between the predicted and actual values.
Difference = Predicted value - Actual value
Difference = 275 - 265
Difference = 10

Step 2: Calculate the absolute value of the difference.
Absolute Difference = |Difference|
Absolute Difference = |10|
Absolute Difference = 10

Step 3: Calculate the percent error.
Percent Error = (Absolute Difference / Predicted value) x 100
Percent Error = (10 / 275) x 100
Percent Error = 3.64%

Therefore, the percent error in their prediction is approximately 3.64%.

Answer 4

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